Huan Wang's repositories
Caffe_IncReg
[IJCNN'19, IEEE JSTSP'19] Caffe code for our paper "Structured Pruning for Efficient ConvNets via Incremental Regularization"; [BMVC'18] "Structured Probabilistic Pruning for Convolutional Neural Network Acceleration"
admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
DAFL
A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
DeepHoyer
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
DeepLearningTheories
Collection of recent papers on deep learning theories
EigenDamage-Pytorch
Pytorch implementations of the paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".
fast-human-pose-estimation.pytorch
Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
loss-landscape
Code for visualizing the loss landscape of neural nets
MNN
MNN is a lightweight deep neural network inference engine.
network-slimming
Network Slimming (Pytorch) (ICCV 2017)
pytorch-AdaIN
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
pytorch-prunes
Code for https://arxiv.org/abs/1810.04622
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Scripts
scripts
spp-public
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Structured-Bayesian-Pruning-pytorch
pytorch implementation of Structured Bayesian Pruning
Taylor_pruning
Pruning Neural Networks with Taylor criterion in Pytorch
ZeroShotKnowledgeTransfer
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
ZSKD
Zero-Shot Knowledge Distillation in Deep Networks